Scientist jobs near me

The Pharmaceutical Development Scientist is a hands-on technical role responsible for the formulation, development, optimization, and technology transfer of sterile and non-sterile drug products across STAQ Pharma's 503B Outsourcing Facilities. Reporting directly to the Chief Pharmaceutical Officer, this position supports product development initiatives from concept through scale-up and commercialization, driving innovation, process improvement, and lifecycle management of compounded drug products. The scientist collaborates closely with Manufacturing Sciences & Technology (MS&T), Quality, and Production teams to translate laboratory-scale formulations into scalable, validated CGMP manufacturing processes. Responsibilities include conducting pre-formulation and compatibility studies, preparing R&D and pilot-scale batches, and analyzing analytical and stability data to identify optimal formulations that maximize quality, performance, and product expiration dating. This role requires strong analytical chemistry expertise-including the ability to interpret UPLC chromatograms, assess impurity profiles, and apply ICH and FDA 503B guidance-to guide formulation strategy, product development, and technology transfer activities. Key Responsibilities: Develop, optimize, and scale formulations for sterile and non-sterile dosage forms in compliance with CGMP, FDA 503B, and ICH guidelines. Conduct pre-formulation studies, excipient compatibility testing, and stability evaluations to inform formulation design and shelf-life optimization. Design and execute experiments to assess formulation feasibility, process robustness, and long-term product stability. Prepare and manufacture laboratory-scale, R&D, and pilot-scale batches for testing and process development. Lead and support technology transfer activities for new and existing products, ensuring seamless transition from R&D to manufacturing and between STAQ Pharma sites. Conduct literature reviews and data analysis to identify innovative formulation approaches and support development strategy. Analyze data from HPLC, GC, dissolution, and stability studies to assess potency, purity, and impurity profiles. Collaborate with MS&T, Quality, and Production teams to ensure manufacturing processes are robust, validated, and scalable. Develop and execute stability protocols, trend data, and prepare detailed technical summaries and reports. Write and maintain technical documentation, including batch records, development protocols, SOPs, and technical reports in accordance with CGMP standards. Support investigations of out-of-specification (OOS) or out-of-trend (OOT) results and contribute to CAPA development and implementation. Participate in audits, inspections, and internal quality reviews to ensure regulatory and operational compliance. Qualifications: Bachelor's, Master's, or Ph.D. in Pharmaceutical Sciences, Chemistry, Chemical Engineering, or a related discipline. Minimum of 3-5 years of hands-on experience in CGMP pharmaceutical formulation or product development (503B, CDMO, or sterile pharma manufacturing preferred). Demonstrated experience in formulation design, stability testing, and technology transfer. Proficiency in analytical chemistry techniques, including UPLC, GC, and dissolution testing; ability to interpret chromatograms and impurity profiles. Strong working knowledge of ICH Q8-Q10, FDA 503B guidance, and applicable USP chapters. Experience in scale-up and process optimization for aseptic and non-sterile drug products. Excellent technical writing, communication, and organizational skills. Ability to work independently, prioritize multiple projects, and collaborate effectively across cross-functional teams and sites.

Title: Clinical Variant Scientist (Part-Time, Remote) Company: Machaon Diagnostics Employment Type: Part-Time (10 hrs/week) About Us Machaon Diagnostics is a specialized clinical reference laboratory and CRO focused on hematology, immunology and rare disease diagnostics. We support physicians, hospitals, and pharma/biotech partners by delivering fast, high-quality molecular and functional testing. Our genetics program includes next-generation sequencing assays, somatic and germline variant interpretation, and the development of innovative assays in complement biology, immune dysregulation, and related pathways. About the Role Machaon Diagnostics is seeking a part-time, remote Clinical Variant Scientist to support our growing genetics program focused on rare disease, immunology, hematology, and complement biology. You'll play a key role in variant interpretation, report drafting, and assay-development support. This role offers flexible hours, remote work, and meaningful impact in clinical diagnostics. What You'll Do Interpret germline and/or somatic variants using ACMG/AMP guidelines Review NGS data, QC metrics, and annotation outputs Curate variants using ClinVar, gnom AD, HGMD, and related databases Draft clear, concise clinical reports Maintain and update internal variant knowledge bases Support new assay development and validation Ensure compliance with CLIA/CAP standards and SOPs What We're Looking For Required: MSc or PhD in Genetics, Genomics, Molecular Biology, or related field 1-3+ years experience in clinical variant interpretation Preferred: Experience with rare disease, immune dysregulation, or complement biology Prior work in a CLIA/CAP-accredited lab What We Offer Part-time remote role (approx. 10 hrs/week) Flexible schedule Opportunity to contribute to innovative rare-disease diagnostics Supportive and collaborative team environment How to Apply Submit your CV and a brief note about your variant-interpretation experience to: james.kain at machaondiagnostics.com Subject: Clinical Variant Scientist - Part-Time

Mercor is collaborating with a leading AI research group to engage experts with advanced training in physics. **PhD graduates in Physics from a US/UK/CA top 30 pure physics program** are encouraged to participate. This cutting-edge project focuses on strengthening AI systems' reasoning capabilities through rigorous problem-solving and theorem-based evaluation. You will be applying graduate-level expertise to assess and validate complex mathematical reasoning. **Key Responsibilities** - Solve and evaluate challenging physics problems across diverse fields - Review AI-generated proofs and solutions for correctness and rigor - Provide structured feedback to improve mathematical reasoning models **Ideal Qualifications** - **PhD in Physics (not applied physics or engineering)** - Graduated from a **top 30 physics program in the US, UK, or Canada** - Ideally active in research/academia - Strong background in advanced problem-solving, with ability to clearly articulate articulate reasoning, reference theorems, and identify gaps in writing **More About the Opportunity** - Remote and asynchronous - set your own schedule - Flexible, project-based engagements - 5-6 week engagement with potential for additional opportunities **Compensation & Contract Terms** - Competitive hourly compensation, commensurate with your background & experience - Independent contractor arrangement - Payments processed weekly via Stripe Connect **Application Process** - Submit your resume and complete an interview to get started (if we do not have one already on file) - Qualified applicants will receive follow-up within a few days with next steps **About Mercor** - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations - Backed by Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains such as law, engineering, research, and creative services contract with Mercor to contribute to frontier AI projects

About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Consultant - Data Scientist for our Data & AI Practice. This role will report to the Regional Director of Data & AI. The role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL; experience with R is a plus Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs) Demonstrated ability to work with large, complex datasets and relational/cloud-based databases (e.g., Azure SQL, Delta Lake) Experience operationalizing ML models and pipelines in production environments Preferred Qualifications Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.) Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables) Experience with data visualization and BI tools (e.g., Power BI, Tableau) Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences Strong data storytelling skills and ability to drive insights from exploratory and visual analysis Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset Demonstrated leadership, relationship-building, and mentoring abilities More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply. The role is open to the following locations: San Francisco Bay Area, Seattle and London. Qualifications Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields Experienced in developing and implementing new deep learning methods Experienced in PyTorch, training and inference of large models on GPUs Scientifically curious with an interest to work on interdisciplinary teams PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields 3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience Peer reviewed published research in developing AI methods (example in ICLR, NeurIPS, ICML, Nature, Science, Cell etc.) Experience in working at the interface of AI and Biology Experience working on large scale distributed training and inference Experience communicating research for public audiences of peers Participation in the open-source community Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. About The Role: In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities of this position include: Technical execution Design, develop, and deploy new mineral exploration data collection instruments and methods. Help develop KoBold's proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries Qualifications Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. A successful track record of developing complex equipment with cross-disciplinary teams and vendors. Technical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. Applying scientific knowledge to identify and prototype emerging technologies Systems integration and data acquisition. Python's data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources Experience deploying sensors in the field Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Remote sensing Creating machine learning models on geospatial data Image processing or computer vision Project and team management KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt Salary is one part of KoBold's total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave." Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. 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Join us on the journey to get to net zero At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action. Our Mission Enable organizations to reduce, remove, and utilize their emissions with carbon science We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform. Global citizens with global impact Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and in states all across the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA, Oakland, CA, and NYC. Diverse backgrounds bring diverse perspectives We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed. The Role Carbon Direct is seeking a passionate and knowledgeable Sustainable Biomass Scientist to join our team. An increasing number of highly scalable climate solutions rely on biomass feedstocks, from sustainable aviation fuel to biochar. These solutions must rely on sustainable biomass from forests and agriculture to be effective. The Sustainable Biomass Scientist will play a crucial role in evaluating and advising on the use of biomass as a renewable feedstock for carbon removal and other climate solutions. This role requires a deep understanding of biomass resource management and economics, supply chains, environmental and social impacts, and regulatory frameworks to ensure that biomass utilization aligns with Carbon Direct's commitment to sustainable decarbonization and carbon removal. This role will work closely with engineering colleagues to understand biomass-based climate solutions holistically. Responsibilities Biomass Evaluation: Assess the sustainability of biomass feedstocks, considering factors such as resource management and economics, life cycle emissions, land use, biodiversity impacts, and social implications. Supply Chain Analysis: Conduct comprehensive analyses of biomass supply chains to identify opportunities for optimization, risk reduction, efficiency improvements, and emissions reductions. Scientific Expertise: Provide technical expertise and guidance to interdisciplinary Carbon Direct teams on biomass supply chains, resource management, and economics. Regulatory Compliance: Stay up-to-date on relevant regulations and standards governing biomass utilization, ensuring that Carbon Direct's practices adhere to environmental laws and guidelines. Strategic Partnerships: Collaborate with external stakeholders, including biomass suppliers, industry associations, research institutions, and policymakers, to promote sustainable biomass practices and advance Carbon Direct's mission. Research and Innovation: Stay abreast of the latest developments and innovations in sustainable biomass utilization approaches, conducting research and analysis to inform Carbon Direct's strategies and initiatives. Client Engagement: Engage with Carbon Direct's clients to understand their sustainability goals and carbon reduction needs, offering tailored solutions and recommendations for incorporating biomass-based solutions into their decarbonization strategies. Experience and Qualifications Experience in biomass sustainability, biomass resource management, economics, procurement, carbon removal, or a related field. Bachelor's degree in environmental science, forestry, agriculture, or related field (advanced degree preferred). Strong understanding of biomass feedstocks and supply chains, with a focus on management and economics. Familiarity with regulatory frameworks and standards governing biomass utilization and resource management, such as sustainability certifications and carbon accounting protocols. Excellent analytical skills and attention to detail, with the ability to conduct rigorous assessments and evaluations of complex systems, such as through life cycle assessment. Effective communication skills, with the ability to articulate technical concepts to diverse audiences and build collaborative relationships with internal and external stakeholders across disciplines. Commitment to Carbon Direct's mission of combating climate change through innovative and sustainable solutions. Salary Range $133,000-$163,000 a year Benefits While we love our work, our lives aren't defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families - and we're always looking to improve. Our U.S. benefits* include: Comprehensive nationwide medical, dental, and vision coverage. See a preview of our coverage here. Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's Equity for all full-time employees, so you share in the company's long-term success 16 weeks of fully paid parental and family leave with no tenure requirement Remote-friendly work culture with annual company-wide retreats Reimbursement for your work-from-home setup and monthly work-from-home stipend *Please note that the benefits described apply to U.S.-based employees only. For our international employees, our benefits package varies by each country and its statutory requirements. Equal Opportunity Employer Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.

About Us: Oruka Therapeutics (Nasdaq: ORKA) is developing novel biologics designed to set a new standard for the treatment of chronic skin diseases. Oruka's mission is to offer patients suffering from chronic skin diseases like plaque psoriasis the greatest possible freedom from their condition by achieving high rates of complete disease clearance with dosing as infrequently as once or twice per year. Oruka is advancing a proprietary portfolio of potentially best-in-class antibodies that were engineered by Paragon Therapeutics and target the core mechanisms underlying plaque psoriasis and other dermatologic and inflammatory diseases. For more information, visit *************** As we build our core team, we're seeking top talent in different functional areas who are not just looking for a job, but an opportunity to be part of something bigger. Someone who is passionate about making a difference and eager to contribute to establishing an engaged, inclusive, and positive company culture. Job Title: Pharmacovigilance Scientist Location: Remote Role Overview: The Pharmacovigilance Scientist plays a critical role in the collection, evaluation, and management of drug safety data throughout clinical development. This role supports the monitoring and assessment of adverse events, safety signal detection, and risk management activities to safeguard patient safety and ensure regulatory compliance. The Pharmacovigilance Scientist collaborates with cross-functional teams to maintain the integrity of safety data and contributes to the preparation of safety-related documentation, presentations and aggregate reports. They work closely with the Senior Medical Director, Pharmacovigilance and Safety, to execute pharmacovigilance strategies. Key Responsibilities: Safety Data Collection and Review: Collects, reviews, and analyzes adverse event reports from clinical trials to identify potential safety signals Supports quality control review of individual case safety reports (ICSRs) Assists in ongoing safety monitoring activities, including data reconciliation and quality checks to ensure accuracy of safety data. Supports safety data management activities, including case processing, follow-up, and coding of adverse events Risk Assessment and Signal Detection: Assesses clinical safety data to identify, evaluate, and document adverse events and emerging safety concerns. Contributes to risk-benefit analyses and supports the development of risk mitigation strategies Pharmacovigilance Documentation: Supports the preparation and review of pharmacovigilance documents such as Development Safety Update Reports (DSURs), development Risk Management Plans (dRMPs), and relevant sections of clinical trial protocols, IBs and regulatory submissions Proficient with safety surveillance systems and tools (e.g., Argus, MedDRA, Veeva Vault) Scientific Expertise: Maintains current knowledge of relevant therapeutic areas, pharmacology, and drug safety regulations Conducts literature reviews and safety signal assessments to inform safety evaluations Cross-Functional Collaboration: Works closely with clinical operations, regulatory affairs, medical affairs, data management, bioinformatics and project management teams to ensure comprehensive safety oversight Supports compliance with global pharmacovigilance regulations and company safety policies Supports the communication and oversight of pharmacovigilance and contract research organization vendors Supports the project management of safety activities such as aggregate reports, safety team meetings, signal evaluations, etc. Qualifications: Advanced degree in life sciences (e.g., PharmD, PhD) or related field Minimum of 3 years of experience within the pharmaceutical industry, ideally including drug safety experience Knowledge of good pharmacovigilance practices, drug safety regulations, and clinical trial processes Understanding of pharmacovigilance regulatory practices including CIOMS, EMA, ICH and FDA guidelines Experience with adverse event data review, safety signal detection, and safety database management (e.g. Argus, MedDRA, Veeva Vault) Strong analytical, communication and presentation skills Strong organizational and project management skills Ability to collaborate effectively across multidisciplinary teams in a fast-paced environment Compensation: An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity. The anticipated salary range for candidates, Scientist I is $125,000-140,000 and Scientist II is $140,000-155,000 . The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states. If located within one of our offices in Waltham, MA or Menlo Park, CA, you will be required to go into office 3 days a week. We're looking forward to hearing how you can contribute to our team and mission. Join us in shaping the future of our company and making a real impact every day. Salary Range for the Role$125,000-$155,000 USD What We Offer: A chance to be part of a vibrant startup culture where your work can directly impact bringing new medicines to patients. Competitive salary and benefits package. A supportive and inclusive team environment where everyone is encouraged to bring their authentic selves to work. Opportunities for professional growth and development.

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. Job Overview We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Scientist II. This position will be part of the Translational Research and Medicine-Oncology team, with a primary focus on advancing translational research to support oncology programs in clinical trial stages. This individual will be responsible for designing, oversighting, and interpretating translational studies to understand mechanism of action, resistance pathways, and potential new indications. The candidate may also be involved in biomarker analysis to support these translational objectives. Job Duties and Responsibilities Develop hypotheses by integrating insights from scientific literature, preclinical and clinical data Design experiments to support identification of mechanism of action, resistance mechanisms, and potential indications Manage translational research and biomarker studies conducted with CROs and academic investigators to ensure high-quality, timely delivery of data Maintain organized, detailed logs of studies and data to ensure accuracy, reproducibility, and compliance with regulatory standards Present data and insights in internal meetings and cross-functional program team discussions Key Core Competencies Scientific curiosity with ability to generate and test hypotheses that inform drug development Excellent problem-solving and critical-thinking skills to interpret complex data Strong organizational skills and attention to detail in managing studies, data, and documentation Strong project management and vendor oversight skills Adaptability and resilience in a fast-paced, evolving research environment Education and Experience PhD degree in a related field of science (Biology, Biochemistry, Molecular & Cellular biology, Cancer Biology, Immunology) 1-3 years of postdoctoral or industry research experience Familiarity with oncology research preferred Experience with common biomarker platforms (e.g. NGS, flow cytometry, IHC) preferred The base salary range for this role is $102,000 to $127,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

AI RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems. In today's dynamically changing world, DEFCON AI's technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions. About the Optimization Scientist Position Are you passionate about driving innovation through advanced mathematical modeling? Does working in a multi-disciplinary team that addresses a diverse range of complex problems get you excited? If so, we have an exciting opportunity for you as an Optimization Scientist in the Tech Development and Analytics team at DEFCON AI. We're currently looking for creative, smart, and humble teammates who want to join our group of world-renowned researchers as we push the boundaries applying AI to complex problems. As an Optimization Scientist, you will be at the forefront of driving the development and deployment of our latest optimization models to production. If you're a forward-thinking, technically adept individual with a passion for mathematical modeling and optimization, this role is for you. This role is a 1099 contract opportunity, with full time hours. Responsibilities: Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights. Design and implement novel heuristics and optimization models to solve complex problems in various industries, ensuring efficiency and scalability. Stay up to date with the latest advancements in decision science and implement best practices for our customers. The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely. Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions. Qualifications: Demonstrated expertise in building mathematical optimization models for complex real-world problems The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike An advanced degree in Operations Research, Industrial Engineering, Physics, Mathematics, or a related technical field U.S. citizenship is required Preferred Qualifications: Experience with cloud-based SAAS products and pipelines Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi) A Ph.D. with a focus on Optimization Experience in modeling transportation and logistics Publications in scientific journals and/or conferences We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. www.

About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems. About the Optimization Scientist Position Are you passionate about driving innovation through advanced mathematical modeling? Does working in a multi-disciplinary team that addresses a diverse range of complex problems get you excited? If so, we have an exciting opportunity for you as an Optimization Scientist in the Tech Development and Analytics team at DEFCON AI. We're currently looking for creative, smart, and humble teammates who want to join our group of world-renowned researchers as we push the boundaries applying AI to complex problems. As an Optimization Scientist, you will be at the forefront of driving the development and deployment of our latest optimization models to production. If you're a forward-thinking, technically adept individual with a passion for mathematical modeling and optimization, this role is for you. This role is a 1099 contract opportunity, with full time hours. Responsibilities: Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights. Design and implement novel heuristics and optimization models to solve complex problems in various industries, ensuring efficiency and scalability. Stay up to date with the latest advancements in decision science and implement best practices for our customers. The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely. Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions. Qualifications: Demonstrated expertise in building mathematical optimization models for complex real-world problems The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike An advanced degree in Operations Research, Industrial Engineering, Physics, Mathematics, or a related technical field U.S. citizenship is required Preferred Qualifications: Experience with cloud-based SAAS products and pipelines Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi) A Ph.D. with a focus on Optimization Experience in modeling transportation and logistics Publications in scientific journals and/or conferences We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets. Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at ************* or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube. About the role Absci is seeking AI Scientists to join its team of experts advancing generative and predictive modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop AI models that generate and evaluate antibody therapeutic candidates. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico . Absci's computational teams (including its AI Scientists) develop and validate software platforms for antibody design and in silico assessment, while its Wet Lab teams experimentally validate its AI platforms, and its Drug Creation teams translate experimentally-validated AI designs into clinically-viable therapeutics. The ideal AI Scientist candidate will: Care as much about solving the technical problems related to designing antibody therapeutics as they do about translating solutions to the clinic; Use their expertise to influence the AI team's research agenda while maintaining high levels of responsibility and accountability for their work; Demonstrate their curiosity about the problems we are attempting to solve by developing proficiency in disciplines that fall outside their own areas of expertise, constantly increasing the scale and impact of their contributions; Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise. Why Absci's AI team? Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning models, but also apply these models in real-time to generate candidate antibody therapeutics. In particular: Absci provides its AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment. Absci maintains its own Wet Lab, enabling AI Scientists to validate novel modeling methods via both in silico and in vitro experimentation. Absci maintains and is growing its own internal pipeline of assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients. This position can be remote, hybrid, or onsite in New York, NY or Vancouver, WA. Key Responsibilities Develop state-of-the-art deep learning models for structure-based antibody design, antibody sequence design, antibody-antigen co-folding, antibody-antigen binding prediction, and physics-based antibody design and evaluation Partner with teammates in AI Research, Platform Engineering, and Computational Biology to identify key challenges and design innovative, AI-driven solutions Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies Deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design Qualifications PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience Fluency in Python and PyTorch Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction Expertise in large-scale model training Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment Demonstrated experience presenting complex technical work to diverse audiences Strong publication record in respected, high-impact journals and conferences Absci's AI team does not accept and is not responsible for fees related to unsolicited agency resumes. Compensation and Benefits The base salary range for this position is $160,000- $260,000. The range provided is based on what we believe is a reasonable estimate for the base salary range for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. Absci offers highly competitive salaries and benefits including medical, dental, and vision insurance, unlimited vacation, parental leave, employee assistance programs, voluntary life and disability insurance, annual bonus potential, the ability to participate in our employee stock purchase plan, a 401(k) with a generous company match, and so much more. Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should request the recruiter or hiring manager or contact ****************.

The Role: The Scientist will be responsible to support the protein quantification and proteomics analysis using Mass spectrometry for PK and PD studies, ensuring the timely and efficient management of critical reagents used in the development, validation, and execution of bioanalytical and molecular assays to support clinical assays at Moderna. The successful candidate will work closely with cross-functional teams for protein analysis, qualify critical reagents, as well as establish and maintain robust systems for their monitoring, tracking, and storage. This is in person laboratory based position located in Norwood, MA. Here's What You'll Do: Support LC-MS based protein quantification/proteomics assay development, validation and sample analysis under regulatory compliance. A solid background in modern analytical techniques used in the analysis of mRNA-based therapeutic products is essential. Maintain a robust system for the monitoring, tracking, and storage of critical reagents to ensure their availability and quality. Support reagent characterization to generate CoA documentation. Knowledge of peptide/proteins, aptamer-antibody based conjugation systems for DNA, RNA, and Protein/antibodies. Maintain a database of Reference standards/reagents, including their specifications, source, usage, and expiration dates. Conduct regular audits of critical reagent inventory and work with cross-functional teams to manage the procurement and disposition of the reagents. Vendor management to ensure the availability and quality of critical reagents. Develop and implement policies, procedures, and training programs to ensure compliance with regulatory requirements and industry best practices. Collaborate with cross-functional teams to develop reagent-specific risk assessments and mitigation strategies. Monitor industry trends and advancements in critical reagent management and implement the best practices to improve efficiency and effectiveness. Here's What You'll Need (Basic Qualifications) Ph.D. in a scientific field, such as chemistry, biochemistry, or biology with 3+ years of experience in Bioanalytical Sciences/regulated bioanalysis. M.S. with at least 7 years of bioanalytical experience will also be considered. Strong knowledge of critical reagents management as well as current industry best practices and regulatory requirements. Deep understanding of Proteomics/Protein mass spectrometry for PK and biomarker analysis Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals. Excellent organizational, analytical, and problem-solving skills. Proven ability to manage multiple projects simultaneously and prioritize tasks in a fast-paced environment. Here's What You'll Bring to the Table (Preferred Qualifications): Experience with the Biophysical Characterization of Biologics (LCMS, SDS-PAGE, cIEF, SPR, BLI, SEC-HPLC, SEC-MALS, UV-VIS) Experience working in a GLP environment (ELN/LIMS/automation) Experience with HRMS and software for protein analysis/characterization At Moderna, we believe that when you feel your best, you can do your best work. That's why our US benefits and global well-being resources are designed to support you-at work, at home, and everywhere in between. Best-in-class healthcare coverage, plus a suite of voluntary benefit programs to support your unique needs A holistic approach to well-being, with access to fitness, mindfulness, and mental health support Lifestyle Spending Accounts to personalize your well-being journey Family planning and adoption benefits Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown Savings and investment opportunities Location-specific perks and extras About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. Our Working Model As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. Moderna is a smoke-free, alcohol-free, and drug-free work environment. Equal Opportunities Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Accommodations We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com. Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license. #LI-NB1 -

Seeking a Fishery Restoration Scientist to support NOAA Fisheries in executing analytical, technical, and field-related tasks across multiple habitat conservation and environmental review programs. This position will work closely with the NOAA Project Lead (PL) to evaluate project impacts, conduct habitat analyses, support regulatory reviews, and develop high-quality technical deliverables. The work will be performed in a fully remote capacity, with only a limited possibility of occasional travel within the east coast regions of Florida, South Carolina, North Carolina, or Georgia. The task includes the following: * Review study objectives developed by the Southeast Region and project partners, identify optimal field study locations, manage partner-provided datasets, develop associated metadata, and recommend practicable refinements to future field efforts. Deliver short technical reports and data files and incorporate all NOAA PL comments into final documentation. * Analyze project-specific data to evaluate compliance with hydropower facility license conditions, with particular attention to fish passage and flow prescriptions. Deliver concise written reports for each facility and revise final documentation in response to NOAA PL comments. * Assess effects to Essential Fish Habitat (EFH) and evaluate proposed mitigative measures for offshore wind energy projects using data provided. Prepare short written reports and develop briefing materials suitable for NOAA senior leadership summarizing project objectives, expected impacts, benefits, and anticipated schedules. Address all NOAA PL comments in final deliverables. * Review dredging operation data and coral condition information for the Port Everglades and Port Miami project areas. Evaluate potential effects to coral habitat, recommend mitigation measures to offset expected impacts, and deliver a written report containing habitat characterizations and supporting GIS files with appropriate metadata and Google Earth files. Address all NOAA PL comments in final documentation. * Conduct EFH, Fish and Wildlife Coordination Act (FWCA), and Fish and Wildlife Planning Assistance (FPA) analyses for proposed construction and restoration projects. Maintain a current understanding of diadromous, estuarine, and reef fish habitats, key environmental pressures, and conservation partnerships across Southeast U.S. watersheds. Use GIS to prepare maps and manage spatial data for analysis, and produce written reports and briefing materials with complete responses to NOAA PL comments. * Submit electronic monthly progress reports that clearly correlate cost, level of effort, activity descriptions, and accomplishments for the reporting period. Requirements * Knowledge of fish and habitat ecology, environmental conservation principles, and habitat impact assessment methodologies. * Experience conducting data analysis, preparing technical summaries, and managing fisheries or environmental datasets. * Experience using GIS software for spatial analysis, map production, and metadata development. * Familiarity with EFH assessments, environmental review processes, and habitat-based conservation strategies within marine or estuarine systems. * Ability to write clear, concise technical reports and prepare briefing materials for senior decision-makers. * Strong proficiency with common software including word processing, spreadsheets, statistical tools, data management applications, and the entire Google suite. * Ability to collaborate with partners, manage multiple ongoing tasks, and respond to technical comments with accuracy and completeness. * Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 of the last 5 years and must be able to pass a background investigation to obtain a security badge to access applicable government systems. Work Location This position is fully remote in support of NOAA Fisheries. Education Bachelor's degree in Biology, Marine Science, Ecology, Environmental Science, or a related discipline, plus three years of experience in fish biology, marine biology, oceanography, or a closely related field. Salary The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills. Benefits All full-time employees are eligible to participate in our flexible benefits package, which includes: * Medical, Rx, Dental, and Vision Insurance * 401(k) retirement plan with company-matching * 11 Paid Federal Government Holidays * Paid Time Off (PTO) * Basic Life & Supplemental Life * Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Employee assistance program (EAP) * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Professional Membership Reimbursement * Employee Referral Program * Competitive compensation plan * Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance * Publication and Conference Presentation Awards with bonuses ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. #LI-Remote

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Summary: Support and direct new test development within the clinical laboratory through new test identification, method evaluation, financial and compliance analysis, clinical and marketing impact and test implementation. Responsibilities And Duties: 30% New technology development including clinical impact, financial analysis and transition to production. 25% Method validation; Provide overall direction and support to division managers. 20% Technical support; provide support for technical trouble shooting including problems with instruments, QC or specific analyses and customer/client complaints. 15% Compliance Work with clinical departments to develop and validate critical values and critical value policy Monitor new test coding Test utilization review and policy development. 5% Marketing and education to internal and external clients. Work closely with Outreach to expand market share. 5% Participate in other activities within the hospital or system as necessary. Minimum Qualifications: Bachelor's Degree (Required) CAP - Board Certification - State of Ohio, CLIA - Clinical Laboratory Improvement Amendments - State of Ohio Additional Job Description: SPECIALIZED KNOWLEDGE Chemical, Physical, Biological or Clinical Lab studies. Board Certification Thorough knowledge of CAP, CLIA, & JCAHO guidelines as well as CMS coding compliance. strong communication and public speaking skills. Five years in a large, progressive, high complexity lab performing method validations, literature reviews, clinical correlations of technical data, financial pro formas and feasibility studies. Work Shift: Day Scheduled Weekly Hours : 40 Department Lab Administration Join us! ... if your passion is to work in a caring environment ... if you believe that learning is a life-long process ... if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain's biggest problems so patients and their loved ones can flourish. For more information, please visit us at ************** and follow us on LinkedIn and X. About This Role Axsome Therapeutics is seeking a Pharmacovigilance Scientist to establish and execute pharmacovigilance (PV) systems and procedures, with a strong focus on maintaining high-quality standards. This role is responsible for supporting the Pharmacovigilance (PV) Science function under the guidance of the PV physician and providing oversight of ICSR assessment, signal detection, medical surveillance and risk management activities for investigational products in clinical development and marketed products. This position collaborates with key internal stakeholders, including Clinical Development, Commercial, Medical Information, Medical Affairs, Quality, Regulatory and Legal, as well as multiple external Service Providers and partners on pharmacovigilance-related matters. This position reports to Executive Director of Pharmacovigilance/Drug Safety and is based at Axsome's HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles. Job Responsibilities and Duties include, but are not limited to, the following: Assist safety physician to enhance safety surveillance and signal detection by monitoring and analyzing safety data from various sources to identify potential safety signals or trends related to investigational and marketed products Contribute to the creation and execution of risk minimization measures to mitigate identified risks. Support the preparation pharmacovigilance aggregate safety reports (e.g., PADER, PSURs, DSURs) to regulatory authorities to meet compliance requirements. Collaborate with PV physician/PV operations and key stakeholders to request/receive applicable sections of the report Provide training and guidance to other functions to address ad hoc questions and issues Ensure timely finalization of the reports to meet the submission timelines of relevant health authorities and other external stakeholders Collaborate and communicate with cross-functional teams to ensure effective safety monitoring and communication Support the safety review team (SRT) and coordinates all safety topic discussion and documentation. Ensure appropriate stakeholder representation and input at SRT Ensure all data is appropriately compiled and presented at SRT for team review Liaise with SRT chair to facilitate communication and support for decisions resulting from the SRT (e.g. update of RMPs, labeling, regulatory notifications etc.) Contribute to clinical trials by providing safety input and reviewing documents such as Clinical Study Reports (CSRs), protocols, and investigator brochures (IB), ICF etc. Provide support for the processing of individual case safety reports (ICSRs) and ensure data accuracy and completeness for investigational and marketed products Support the PV SOP updates Oversee vendor safety process, e.g., signal detection, validation and assessment. Participate in audit/inspection preparedness activities and provide support during regulatory inspections in collaboration with team members Participate in new study initiation to ensure PV requirements are met including but not limited to safety reporting, query resolution, SAR reconciliation, un-blinding process, and safety reporting training Evaluate and improve current PV processes, as needed, to strengthen medical surveillance and risk management process ensuring alignment with best practices Requirements / Qualifications Master's degree in health-discipline or equivalent required, RN, R.Ph, or Pharm D degree is highly preferred 5+ years of progressively responsible Pharmacovigilance experience in a pharmaceutical, biotechnology, or related environment with focused experience in signal detection, safety surveillance, risk mitigation and risk management Extensive experience in case processing, regulatory requirements of ICSRs, MedDRA, WHODD, project management Experience in submission activities in both FDA and EU is preferred, but not required Must demonstrate the ability to draft reports, business correspondence, and procedures, and to effectively present information and respond to questions from internal and external stakeholders, both domestic and international Ability to work on site Monday, Tuesday & Thursday. We are unable to consider candidates who are looking for fully remote roles. Experience and Knowledge Knowledge of ICH E2B(R2) and (R3) specifications and entry guidance. Knowledge of global pharmacovigilance reporting rules and timelines, including but not limited to Health Canada, FDA and EMA. Knowledge of relevant food and drug administration (FDA), European union (EU) and international conference on Harmonization (ICH) guidelines, initiatives, and regulations governing pharmacovigilance. Ability to interpret health and medical records such as adverse event reporting forms, a discharge summary, etc. Experience with clinical and/or post-marketing case assessment, including medical terminologies, MedDRA and WHO DD coding and narrative writing. Experience with safety database is required; ARISg is a plus but not mandatory. Experience with Veeva is a plus but not mandatory. Ability to work independently and collaboratively, as required, in a fast-paced matrixed team environment consisting of internal and external team members Analytical thinker with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines Ability to read, analyze, and interpret professional journals, technical procedures, and governmental regulations Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects Excellent verbal and written communication and skills Excellent in detailed-oriented tasks. Salary & Benefits The anticipated salary range for this role is $150,000 - $185,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package. Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law. Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.

JobID: 210689616 JobSchedule: Full time JobShift: Day : The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chase's call centers, back office, and ~5,200 retail branches. As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. You will typically encounter these problems which will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy. You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making. Job Responsibilities * Design and development of Machine Learning, Artificial Intelligence and Statistical models. * Participate in the full model development lifecycle, from framing the problem to prepare documentation and passing independent model review (MRGR). * Lead AI/ML projects along with mentor and coach junior team members. * Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. * Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research * Ensure the robustness of any data science solution. * Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story. * Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required Qualifications, Capabilities, and Skills * Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines. * 2+ years of experience leading AI/ML projects with multiple team members * Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models. * Deep understanding of math and theory behind AI/ML algorithms. * Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.). * Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred Qualifications, Capabilities, and Skills * Advanced expertise with Time Series and Operations Research techniques. * Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills. * Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP). * Previous experience leading highly complex cross-functional technical projects with multiple stakeholders This position is full time in office Monday - Friday. This position is not hybrid nor remote.

Zoetis Veterinary Medicine Research and Development (VMRD) seeks a skilled Toxicologist to join the Toxicology Group within Clinical Pharmacology and Safety Sciences based in Kalamazoo, MI. This challenging and dynamic role provides global toxicology and safety assessment support. The successful candidate will collaborate across VMRD and Global Manufacturing and Supply (GMS) to develop scientifically rigorous safety assessments supporting product safety across therapeutic areas, veterinary species, human health, and manufacturing processes. Responsibilities: Toxicological Assessment for Drug Products: Conduct safety assessments for formulation excipients, degradants, raw materials, and residual solvents in active pharmaceutical ingredients (APIs) and drug products Toxicological Assessment for Manufacturing: Qualify impurities in the manufacturing process of APIs and drug products; conduct safety assessments for extractables and leachables, cross-contamination of products in shared facilities, and establish cleaning limits. Occupational Safety: Develop Occupational Exposure Limits (OELs/ OEBs) following Zoetis processes and procedures. User and Worker Safety: Provide product user and worker safety support for project teams, including risk assessments, exposure scenario calculations, risk mitigation proposals, packaging recommendations and label language development. Safe Exposure Level Development: Establish Threshold of Toxicological Concern (TTC) and health-based exposure limits, including Permitted Daily Exposure (PDE), Acceptable Daily Intake (ADI), and Margin of Exposure (MoE). Health Hazard/ Medical Assessments: Support pharmacovigilance, product quality, and qualification of out-of-specification batches. Regulatory Support: Assist with REACH registration for API intermediates and raw materials, and address global regulatory queries related to the safety of registered products. Toxicology Data Analysis & Literature Review: Perform rigorous toxicology gap analysis, literature data mining, and critical evaluation of toxicological information to support product development and registration. Hazard Communication and Chemical Regulatory Compliance (Preferred): Experience in preparing Safety Data Sheets (SDS), classifying drug substances and process intermediates according to the Globally Harmonized System (GHS) and national requirements, and horizon scanning and monitoring of chemical regulations. Cross-Collaboration and Technical Leadership: Engage in multidisciplinary collaboration within R&D, and with Manufacturing, Product Quality, and Sustainability, to develop and integrate key knowledge areas and expertise into actionable business insights. Regulatory & Scientific Engagement: Support regulatory compliance, trade association participation, and involvement in professional organizations relevant to toxicology. Travel Requirement: This role involves up to 10% travel for collaborations, regulatory engagements, or conferences as needed. Minimum Qualifications Ph.D. (or equivalent) plus at least 2-3 years of experience in toxicology or closely related discipline is critical. Master's degree in toxicology or closely related discipline with 8 years of relevant experience shall be considered. Demonstrated experience in preparing regulatory-quality technical documents or toxicology dossiers, with strong technical writing skills (e.g., protocols, reports, journal articles) Experience in study design, implementation, and interpretation of studies evaluating in vivo and in vitro toxicity or similar experience. Highly organized with strong problem-solving skills, capable of performing rigorous scientific assessments. Ability to prioritize tasks, make informed decisions, and collaborate effectively in a global matrix environment. Excellent verbal and written communication skills in English. Proficiency in MS Office, and toxicology databases for literature research and data analysis Desirable Skills, Experience, and Attributes: Board certification in toxicology (e.g., DABT, ERT) and/or DVM. Knowledge of global regulatory requirements for toxicology risk assessment and documentation to support product safety and chemical registrations. Experience in preparing safety data sheets. The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (Colorado). Base pay may vary based on location and other factors. Base Pay Range: $91,000 - $131,000 The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (California), (NJ Remote), (NY Remote), or (Washington). Base pay may vary based on location and other factors. Base Pay Range: $103,000 - $148,000 [This position is eligible for short-term incentive compensation.] [The position is also eligible for long-term incentive.] We offer a competitive and comprehensive benefits package, which includes healthcare, dental coverage, and retirement savings benefits along with paid holidays, vacation and disability insurance. Full time RegularColleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at ********************************** to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at ********************** site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.